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» On data mining, compression, and Kolmogorov complexity
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ACSC
2005
IEEE
13 years 11 months ago
The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
IMC
2010
ACM
13 years 3 months ago
What happened in my network: mining network events from router syslogs
Router syslogs are messages that a router logs to describe a wide range of events observed by it. They are considered one of the most valuable data sources for monitoring network ...
Tongqing Qiu, Zihui Ge, Dan Pei, Jia Wang, Jun Xu
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
13 years 11 months ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 6 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
SAC
2008
ACM
13 years 5 months ago
Aggregation languages for moving object and places of interest
We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language t...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...